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Sell-Off Slams Treasuries, ETFs & Mining Infrastructure

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Crypto Breaking News

Crypto’s latest sell-off isn’t just a price story. It’s shaping balance sheets, influencing how spot ETFs behave in stressed markets and altering the way mining infrastructure is used when volatility rises. This week, Ether’s slide has pushed ETH below the $2,200 mark, testing treasury-heavy corporate crypto strategies, while Bitcoin ETFs have handed a new cohort of investors their first sustained taste of downside volatility. At the same time, extreme weather has reminded miners that hash rate remains tethered to grid reliability, and a former crypto miner turned AI operator is illustrating how yesterday’s mining hardware is becoming today’s AI compute backbone.

Key takeaways

  • BitMine Immersion Technologies, led by Tom Lee, is dealing with mounting paper losses on its Ether-heavy treasury as ETH dips and market liquidity tightens, with unrealized losses surpassing $7 billion on a roughly $9.1 billion Ether position that includes the purchase of 40,302 ETH.
  • BlackRock’s iShares Bitcoin Trust (IBIT) has seen underwater performance for investors as Bitcoin’s retreat from peak levels deepens, underscoring how quickly ETF exposure can shift from upside to downside in a volatile market.
  • A late-January US winter storm disrupted bitcoin production, highlighting the vulnerability of grid-dependent mining operations. CryptoQuant data show daily output for publicly listed miners fell sharply during the worst of the disruption, then began to rebound as conditions improved.
  • CoreWeave’s transformation from a crypto mining backdrop into AI-focused infrastructure underscores a broader trend: yesterday’s mining hardware and facilities are increasingly repurposed to support AI data centers, a shift reinforced by major financing—Nvidia’s $2 billion equity investment.
  • Taken together, the latest developments illustrate how crypto sell-offs ripple through treasuries, ETFs and the physical infrastructure that underpins the network, prompting a re-evaluation of risk management and asset allocation in the sector.

Tickers mentioned: $BTC, $ETH, $IBIT, $MARA, $HIVE, $HUT

Market context: The drawdown comes as institutional crypto exposure faces a confluence of price volatility, liquidity concerns and cyclical demand for compute capacity. ETF inflows and outflows tend to respond quickly to price moves, while miners’ production patterns reveal how power and weather can shape output in a grid-sensitive ecosystem.

Why it matters

The balance-sheet story around crypto treasuries is front and center again. BitMine’s exposure underscores the risk of anchoring large corporate reserves to volatile assets that can swing meaningfully within a single quarter. When assets sit in the treasury, unrealized losses are a function of mark-to-market moves; they become a real talking point when prices slip and capital-mix decisions come under scrutiny. The company’s $9.1 billion Ether position — including a recent 40,302 ETH purchase — highlights the scale of the risk, especially for a firm that seeks to model ETH performance as a core axis of its treasury strategy.

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On the ETF side, investors in the IBIT fund have learned a hard lesson about downside risk in a bear market. The fund, one of BlackRock’s notable crypto vehicles, surged to become a flagship allocation for many buyers before the price retraced. As Bitcoin traded lower, the average investor’s position moved into negative territory, illustrating how quickly ETF performance can diverge from early expectations in an abrupt market reversal.

Weather and energy costs are still a significant constraint for miners. The winter storm that swept across parts of the United States in late January disrupted energy supply and grid stability, forcing miners to reduce or curtail production. CryptoQuant’s tracking of publicly listed miners showed daily Bitcoin output contracting from a typical 70–90 BTC range to roughly 30–40 BTC at the storm’s height, a striking example of how energy grid stress translates into on-chain results. As conditions improved, production resumed, but the episode underscored the vulnerability of hash-rate operations to external shocks beyond price cycles.

The AI compute cycle is reshaping the crypto infrastructure landscape. CoreWeave’s trajectory—from crypto-focused computing to AI data-center support—illustrates a broader redeployment of specialized hardware. As GPUs and other accelerators pivot away from proof-of-work demand, operators like CoreWeave have become a blueprint for repurposing mining-scale footprints to power AI workloads. Nvidia’s reported $2 billion equity investment in CoreWeave adds a regional confidence boost, reinforcing the view that the underlying compute fabric developed during the crypto era is now a critical layer for AI processing and data-intensive workloads.

Altogether, the latest data points outpace simple price narratives. They illuminate how markets, capital structures and infrastructure intersect in a bear environment, revealing both fragility and resilience across different segments of the crypto ecosystem. The convergence of treasuries exposed to ETH, ETF holders re-evaluating allocations, weather-driven production swings, and infrastructure migration toward AI all signal a period of recalibration for investors, builders and miners alike.

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What to watch next

  • BitMine’s forthcoming disclosures or earnings updates to gauge whether unrealized Ether losses translate into realized losses or further balance-sheet write-downs.
  • Performance of IBIT as BTC prices stabilize or fall further, and whether new inflows offset earlier drawdowns for long-term holders.
  • Mining sector resilience data, including weekly production numbers and energy-grid reliability metrics, to assess ongoing sensitivity to weather and energy costs.
  • CoreWeave and similar AI-focused infrastructure players’ investment milestones and capacity expansions, particularly any additional financing or partnerships with AI developers.

Sources & verification

  • BitMine Immersion Technologies’ Ether-related balance-sheet disclosures and references to unrealized losses as ETH trades below prior highs.
  • Performance and investor commentary regarding BlackRock’s iShares Bitcoin Trust (IBIT) amid BTC price moves and ETF liquidity.
  • CryptoQuant data detailing miner output fluctuations during the US winter storm and the subsequent recovery.
  • Reporting on CoreWeave’s transition from crypto mining to AI infrastructure and Nvidia’s equity investment in the company.

Crypto market stress and the AI-backed data-center shift

Bitcoin (CRYPTO: BTC) and Ether (CRYPTO: ETH) remain the two largest macro anchors in the crypto market, and their price trajectories continue to drive a wide array of spillover effects. The current pullback has placed a spotlight on how corporate treasuries are risk-managed during drawdowns, as well as how ETFs react when underlying assets encounter extended price pressure. BitMine’s Ether-heavy treasury is a case in point: with ETH hovering around the low-$2,000s, unrealized losses have mounted, illustrating the trouble with balance sheets anchored to a single, volatile asset. The company’s substantial Ether position, including a notable addition of 40,302 ETH, points to strategic bets on long-term exposure that, in the near term, translate into large mark-to-market swings. In this environment, even if losses remain unrealized, they shape investor sentiment and the risk calculus behind future capital raises or debt covenants.

The ETF angle adds another dimension to risk transfer. IBIT, the flagship BlackRock product, has exposed investors to Bitcoin price action in a new cycle, and the downturn has drawn attention to the sensitivity of ETF performance to rapid price moves. The fact that the fund’s investors have found themselves underwater — a reminder of how quickly market timing can unravel in a bear phase — underscores the need for robust risk controls around ETF allocations in crypto portfolios. The ETF’s ability to scale rapidly to a substantial asset base is impressive, but downtrends reveal the volatility that sits just beneath the surface of even the most sophisticated products.

Meanwhile, miners faced a concrete operational test in late January as a winter storm swept across the United States. The weather disrupted power delivery and grid operations, forcing several public miners to dial back production. CryptoQuant’s daily output data for major operators tracked a sharp decline from the usual 70–90 BTC per day to roughly 30–40 BTC during the storm’s peak, illustrating how grid stress translates into lower on-chain activity. This temporary slowdown is a reminder that mining is not a purely financial activity; it remains deeply connected to physical infrastructure and regional energy dynamics. As grid conditions improved, production began to rebound, revealing the sector’s capacity to adapt under adverse circumstances.

Against this backdrop, CoreWeave’s pivot from crypto mining to AI infrastructure emphasizes how the compute ecosystem evolves across cycles. The company’s transformation, coupled with Nvidia’s $2 billion investment, reinforces the idea that the compute fabric built during the crypto era has broad relevance for AI workloads and high-performance computing. This shift is not merely tactical—it signals a longer-term trend where hardware and facilities originally designed to support crypto mining become foundational for AI data centers and other compute-intensive applications. For operators, the challenge is to manage this transition smoothly, align financing with new business models, and keep services competitive in an environment where demand for AI-ready infrastructure remains strong.

In sum, the latest market moves illuminate a market in transition: from price-driven narratives to structural ones where balance sheets, ETF dynamics, weather-sensitive operations and AI compute needs converge. The next few quarters will reveal whether this confluence accelerates consolidation, prompts more diversified treasury strategies, or fuels a new wave of infrastructure repurposing across the crypto space and beyond.

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Labor Market and Housing Data Raise New Fears of a U.S. Economic Slowdown

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21Shares Introduces JitoSOL ETP to Offer Staking Rewards via Solana

TLDR:

  • Layoffs and declining job openings show employers preparing for slower growth and tighter financial conditions 
  • Housing demand is weakening as sellers outnumber buyers, creating a record imbalance and reduced market liquidity 
  • Bond and credit markets reflect rising stress tied to debt levels and long-term growth uncertainty 
  • Rapid disinflation and firm monetary policy increase the risks of tightening into an already fragile economy

 

U.S. economic indicators are showing coordinated signs of strain across labor, housing, and credit markets. Layoffs are rising while hiring slows, reducing job security for many workers. 

Housing demand is weakening as sellers outnumber buyers. Bond and credit markets also reflect growing caution. Together, these trends suggest the economy is entering a fragile late-cycle phase.

Labor and Housing Data Point to Late-Cycle Fragility

Labor and housing data are moving together in a pattern associated with late-cycle slowdowns. January layoff announcements exceeded one hundred thousand, the highest level for that month since the global financial crisis. 

Weekly jobless claims have trended higher, while job openings have fallen to levels last seen in 2020. This combination reduces worker mobility and weakens income security across sectors. 

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Companies are not only cutting staff but also limiting recruitment, with hiring plans reaching record lows for the month. Consumer confidence surveys now reflect growing caution toward discretionary spending and long-term purchases.

Housing markets mirror this shift in behavior. Sellers outnumber buyers by a wide margin, creating the largest recorded gap between supply and demand participants. 

Elevated mortgage rates continue to restrict affordability, while existing owners hesitate to reduce prices because of low-rate loans locked in earlier years. Listings remain visible, yet transactions slow as liquidity dries up. 

This imbalance delays price discovery and increases carrying costs for households and developers.

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Employment weakness directly affects housing demand. Fewer stable incomes mean fewer qualified buyers, placing additional pressure on inventories struggling to clear. 

Together, labor deterioration and housing imbalance suggest that economic momentum is being supported by inertia rather than expanding demand, a condition that historically precedes slowdowns across consumption-driven industries.

Bond, Credit, and Inflation Signals Reinforce Economic Stress

Financial markets are reflecting stress through bond and credit indicators. The Treasury yield curve has entered bear steepening, where long-term yields rise faster than short-term rates.

Investors demand higher compensation to hold extended maturity debt, signaling concern over fiscal deficits and long-term growth expectations. Similar curve movements have preceded economic contractions in previous cycles.

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Corporate credit conditions show parallel weakness. A rising share of lower-quality bonds now trades at distressed levels or faces elevated default risk. 

When financing tightens, firms cut costs, postpone investment, and reduce payroll. These actions feed back into employment and consumer demand, reinforcing pressure already visible in labor data.

Business bankruptcy filings continue to trend upward, reducing liquidity within supply chains and tightening lending standards across financial institutions. Inflation readings have shifted quickly, with real-time measures pointing toward levels near one percent. 

Rapid disinflation increases the risk that consumers delay spending in anticipation of lower prices, slowing transaction activity across goods and services markets.

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Monetary policy remains focused on inflation control despite weakening forward indicators in labor and housing. A restrictive stance during slowing growth raises the probability of misalignment between financial conditions and economic capacity. 

Combined with credit strain and yield curve signals, the environment reflects fragility rather than expansion.

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Why Privacy Coins Often Appear in Post-Hack Fund Flows

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Why Privacy Coins Often Appear in Post-Hack Fund Flows

Key takeaways

  • Privacy coins are just a step in a broader laundering pipeline after hacks. They serve as a temporary black box to disrupt traceability.

  • Hackers typically move funds through consolidation, obfuscation and chain hopping and only then introduce privacy layers before attempting to cash out.

  • Privacy coins are most useful immediately after a hack because they reduce onchain visibility, delay blacklisting and help break attribution links.

  • Enforcement actions against mixers and other laundering tools often shift illicit flows toward alternative routes, including privacy coins.

After crypto hacks occur, scammers often move stolen funds through privacy-focused cryptocurrencies. While this has created a perception of hackers preferring privacy coins, these assets function as a specialized “black box” within a larger laundering pipeline. To understand why privacy coins show up after hacks, you need to take into account the process of crypto laundering.

This article explores how funds move post-hack and what makes privacy coins so useful for scammers. It examines emerging laundering methods, limitations of privacy coins like Monero (XMR) and Zcash (ZEC) as laundering tools, legitimate uses of privacy technologies and why regulators need to balance innovation with the need to curb laundering.

How funds flow after a hack

Following a hack, scammers don’t usually send stolen assets directly to an exchange for immediate liquidation; instead, they follow a deliberate, multi-stage process to obscure the trail and slow down the inquiry:

  1. Consolidation: Funds from multiple victim addresses are transferred to a smaller number of wallets.

  2. Obfuscation: Assets are shuffled through chains of intermediary crypto wallets, often with the help of crypto mixers.

  3. Chain-hopping: Funds are bridged or swapped to different blockchains, breaking continuity within any single network’s tracking tools.

  4. Privacy layer: A portion of funds is converted into privacy-focused assets or routed through privacy-preserving protocols.

  5. Cash-out: Assets are eventually exchanged for more liquid cryptocurrencies or fiat through centralized exchanges, over-the-counter (OTC) desks or peer-to-peer (P2P) channels.

Privacy coins usually enter the stage in steps four or five, blurring the traceability of lost funds even more after earlier steps have already complicated the onchain history.

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Why privacy coins are attractive for scammers right after a hack

Privacy coins offer specific advantages right at the time when scammers are most vulnerable, immediately after the theft.

Reduced onchain visibility

Unlike transparent blockchains, where the sender and receiver and transaction amounts remain fully auditable, privacy-focused systems deliberately hide these details. Once funds move into such networks, standard blockchain analytics lose much of their efficacy.

In the aftermath of the theft, scammers try to delay identification or evade automated address blacklisting by exchanges and services. The sudden drop in visibility is particularly valuable in the critical days after theft when monitoring is most intense.

Breaking attribution chains

Scammers tend not to move directly from hacked assets into privacy coins. They typically use multiple techniques, swaps, cross-chain bridges and intermediary wallets before introducing a privacy layer.

This multi-step approach makes it significantly harder to connect the final output back to the original hack. Privacy coins act more as a strategic firebreak in the attribution process than as a standalone laundering tool.

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Negotiating power in OTC and P2P markets

Many laundering paths involve informal OTC brokers or P2P traders who operate outside extensively regulated exchanges.

Using privacy-enhanced assets reduces the information counterparties have about the funds’ origin. This can simplify negotiations, lower the perceived risk of mid-transaction freezes and improve the attacker’s leverage in less transparent markets.

Did you know? Several early ransomware groups originally demanded payment in Bitcoin (BTC) but later switched to privacy coins only after exchanges began cooperating more closely with law enforcement on address blacklisting.

The mixer squeeze and evolving methods of laundering

One reason privacy coins appear more frequently in specific time frames is enforcement pressure on other laundering tools. When law enforcement targets particular mixers, bridges or high-risk exchanges, illicit funds simply move to other channels. This shift results in the diversification of laundering routes across various blockchains, swapping platforms and privacy-focused networks.

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When scammers perceive one laundering route as risky, alternative routes experience higher volumes. Privacy coins gain from this dynamic, as they offer inherent transaction obfuscation, independent of third-party services.

Limitations of privacy coins as a laundering tool

Privacy features notwithstanding, most large-scale hacks still involve extensive use of BTC, Ether (ETH) and stablecoins at later stages. The reason is straightforward: Liquidity and exit options are important.

Privacy coins generally exhibit:

These factors complicate the conversion of substantial amounts of crypto to fiat currency without drawing scrutiny. Therefore, scammers use privacy coins briefly before reverting to more liquid assets prior to final withdrawal.

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Successful laundering involves integration of privacy-enhancing tools with high-liquidity assets, tailored to each phase of the process.

Did you know? Some darknet marketplaces now list prices in Monero by default, even if they still accept Bitcoin, because vendors prefer not to reveal their income patterns or customer volume.

Behavioral trends in asset laundering

While tactical specifics vary, blockchain analysts generally identify several high-level “red flags” in illicit fund flows:

  • Layering and consolidation: Rapid dispersal of assets across a vast network of wallets, followed by strategic reaggregation to simplify the final exit.

  • Chain hopping: Moving assets across multiple blockchains to break the deterministic link of a single ledger, often sandwiching privacy-enhancing protocols.

  • Strategic latency: Allowing funds to remain dormant for extended periods to bypass the window of heightened public and regulatory scrutiny.

  • Direct-to-fiat workarounds: Preferring OTC brokers for the final liquidation to avoid the robust monitoring systems of major exchanges.

  • Hybrid privacy: Using privacy-centric coins as a specialized tool within a broader laundering strategy, rather than as a total replacement for mainstream assets.

Contours of anonymity: Why traceability persists

Despite the hurdles created by privacy-preserving technologies, investigators continue to secure wins by targeting the edges of the ecosystem. Progress is typically made through:

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  • Regulated gateways: Forcing interactions with exchanges that mandate rigorous identity verification

  • Human networks: Targeting the physical infrastructure of money-mule syndicates and OTC desks

  • Off-chain intelligence: Leveraging traditional surveillance, confidential informants and Suspicious Activity Reports (SARs)

  • Operational friction: Exploiting mistakes made by the perpetrator that link their digital footprint to a real-world identity.

Privacy coins increase the complexity and cost of an investigation, but they cannot fully insulate scammers from the combined pressure of forensic analysis and traditional law enforcement.

Did you know? Blockchain analytics firms often focus less on privacy coins themselves and more on tracing how funds enter and exit them since those boundary points offer the most reliable investigative signals.

Reality of legitimate use for privacy-enhancing technologies

It is essential to distinguish between the technology itself and its potential criminal applications. Privacy-focused financial tools, such as certain cryptocurrencies or mixers, serve valid purposes, including:

  • Safeguarding the confidentiality of commercial transactions, which includes protecting trade secrets or competitive business dealings

  • Shielding individuals from surveillance or monitoring in hostile environments

  • Reducing the risk of targeted theft by limiting public visibility of personal wealth.

Regulatory scrutiny isn’t triggered by the mere existence of privacy features, but when they are used for illicit activity, such as ransomware payments, hacking proceeds, sanctions evasion or darknet marketplaces.

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This key distinction makes effective policymaking difficult. Broad prohibitions risk curtailing lawful financial privacy for ordinary users and businesses while often failing to halt criminal networks that shift to alternative methods.

Balancing act of regulators

For cryptocurrency exchanges, the recurring appearance of privacy coins in post-hack laundering flows intensifies the need to:

  • Enhance transaction monitoring and risk assessment

  • Reduce exposure to high-risk inflows

  • Strengthen compliance with cross-border Travel Rule requirements and other jurisdictional standards.

For policymakers, it underscores a persistent challenge: Criminal actors adapt more quickly than rigid regulations can evolve. Efforts to crack down on one tool often displace activity to others, turning money laundering into a dynamic, moving target rather than a problem that can be fully eradicated.

Cointelegraph maintains full editorial independence. The selection, commissioning and publication of Features and Magazine content are not influenced by advertisers, partners or commercial relationships.

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Justin Sun’s ‘ex’ claims he slid into her DMs to get articles deleted

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Justin Sun's 'ex' claims he slid into her DMs to get articles deleted

A crypto blogger claiming to be Justin Sun’s ex-girlfriend has shared what appears to be a message from the Tron founder asking her to delete numerous articles while admitting that he “cherishes” their personal time together. 

Zeng Ying, otherwise known as Ten Ten, started making accusations against Sun last weekend, accusing him of manipulating the price of TRX with Binance accounts wash trading on his behalf, and also directing crypto accounts to spread misinformation about her.

Her latest post appears to reveal a message she received from Sun, in which he admits that he’s known her for many years and shared “very personal” experiences with her. 

In the alleged message, translated using Google, he tells Ten Ten that the two can “cherish” and “express” these experiences, but that they “shouldn’t become the subject of gossip.”

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Protos used Google translate to convert Ten Ten’s image into English.

Read more:Justin Sun’s alleged ex accuses him of market manipulation, insider trading

“They are precious to us, but to onlookers, they are just something to amuse themselves and will soon pass.”

He additionally downplays her accusations as “online speculations and rumors,” and tells her that “Believing these rumors and harming your own health is the worst possible outcome.”

“I know you have something to say, but why not write it down and send it to me?” he asks. “Many things, when said aloud, might just be seen as a joke by others, but in the end, you’re often the one who gets hurt the most.”

In the message, Sun apparently also asks Ten Ten to delete some articles and replace them with different text. However, the screenshot shared online doesn’t reveal what specific text this would be. 

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When sharing the message, Ten Ten said, “So you bought all those water army accounts to smear me, all to help me strengthen my body and build fitness, huh?”

Justin Sun denies all of Ten Ten’s claims

Sun claimed yesterday that “rumors regarding an ‘ex-girlfriend’ and our compliance status are unequivocally false.”

He claims that his firm “cooperates fully with global judicial and law enforcement agencies to crack down on embezzlement, fraud, hacking, other forms of cybercrime, to protect our users’ lawful assets.”

Ten Ten posted minutes later that, “Sun finally got hard for once — he never really got hard when we were together before. I’ll send the full verdict later.” This post was later deleted. 

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Read more: Justin Sun directed wash trading scheme from his US apartment, SEC claims

The crypto blogger claims to have started publicly attacking Sun after she says she witnessed him become “an insurmountable gate of corruption and wrongdoing.”

She also claims that he offered to marry her later in life, only for him to then announce that he was in a relationship with the skier Eileen Gu.

Protos has reached out to Ten Ten for comment on her allegations and will update this piece should we hear back.

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Macro ‘Accomodative Policies’ May Not Be The Next Big Catalyst For Bitcoin

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Cryptocurrencies, Federal Reserve, Bitcoin Price, Adoption, United States

Bitcoin’s next major catalyst may come from the common assumption being flipped on its head that interest rates are bullish for Bitcoin only when they fall, according to a crypto analyst.

“I think we should expect that having more accommodative policies may in fact actually not be the catalyst to help us go into a bull market,” ProCap Financial chief investment officer Jeff Park said during an interview with Anthony Pompliano on Thursday.

“We have to accept that reality and possibility,” Park said. Accomodative policies, such as lowering interest rates, are employed by the US Federal Reserve to stimulate economic growth, reduce unemployment, and increase liquidity. Bitcoiners often see these conditions as more favorable for riskier assets such as Bitcoin (BTC), as traditional investments like bonds and term deposits become less attractive.

Cryptocurrencies, Federal Reserve, Bitcoin Price, Adoption, United States
Jeff Park spoke to Anthony Pompliano on The Pomp Podcast. Source: Anthony Pompliano

Rising interest rates are usually seen as a negative for Bitcoin, but Park said that may not be the case forever. He said Bitcoin’s next biggest upside catalyst — and potentially its “endgame” — may be its entry into what he called a “positive row Bitcoin,” where the asset’s price continues to rise even as US Federal Reserve interest rates rise. 

“Perfect holy grail” for Bitcoin

“This is the mythical, elusive perfect holy grail of what Bitcoin is meant to be, which is when Bitcoin goes up as interest rates go up, which is very counterintuitive to the QE theory,” he said.

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